Data Science Writers: Articles & Blogs from the Data Science Community

A Day in the Life of a Data Engineer

Career Insights Guest contributor data engineeringposted by ODSC Community May 9, 2022

The first time I considered becoming a data professional was in my last year of college when I took a class in machine learning and big data. I saw the potential impact and use cases of machine learning that have simply not been seen before. Even... Read more

Using NLP to identify Adverse Drug Events (ADEs)

Guest contributor Modeling NLP/Text Analyticsposted by ODSC Community April 18, 2022

An adverse drug event (ADE) is defined as harm experienced by a patient as a result of exposure to a medication. A significant amount of information about drug-related safety issues such as adverse effects is published in medical case reports that usually can only be explored by... Read more

Causal Reasoning in Machine Learning

Guest contributor Machine Learning Modelingposted by ODSC Community April 15, 2022

Thanks to recent advancements in Artificial Intelligence (AI), we are now able to leverage Machine Learning and Deep Learning technologies in both academic and commercial applications. Although, relying just on correlations between the different features, can possibly lead to wrong conclusions since correlation does not necessarily... Read more

5 Unexpected Industries Utilizing AI and ML

Business + Management Guest contributorposted by April Miller February 14, 2022

Artificial intelligence (AI) and machine learning (ML) are changing the world around us in extraordinary ways, including some surprising new applications in global industries. These technologies enable us to take computing to a whole new level, which opens the door for innovations that improve processing capabilities,... Read more

Invisible Skills That Distinguish Expert Data Scientists

Guest contributor Opinionposted by ODSC Community February 11, 2022

Although people have been doing statistics with programming for a while, we are still in the early stages of the formal function of data science and machine learning engineering in the industry. So far, we have a well-established list of hard technical skills that one can... Read more

6 Vital Parts of Data Processing

Guest contributor Modelingposted by Shannon Flynn February 7, 2022

Big data is becoming more prevalent in the business landscape. The global market is expected to reach an estimated $103 billion by 2027. The world of vast information is complex and often ambiguous to the average person. Companies need to leverage data to remain competitive in... Read more

Setting up a Text Summarization Project

Guest contributor Modeling NLP/Text Analyticsposted by ODSC Community January 10, 2022

When OpenAI released the third generation of their machine learning (ML) model that specializes in text generation in July 2020, I knew something was different. This model struck a nerve like no one that came before it. Suddenly I heard friends and colleagues, who might be interested... Read more

What’s the Main Priority for Data Labeling in Modern ML, Quality or Scale: Experts Weigh In

Guest contributor Modeling Data Labelingposted by ODSC Community January 10, 2022

AI relies on data labeling for training algorithms – without the data, there can’t be any machine learning. Data labeling accuracy is often difficult to achieve on its own, but it becomes even more of an issue when scalability is at stake. It’s believed by many... Read more

5 Tools for Getting Started with Data Science on GitHub

Guest contributor Modeling Githubposted by Paige Bailey December 27, 2021

Depending on who you ask, the definition of “data scientist” can vary from “Excel expert” to “deep learning engineer” to “MLOps practitioner” – working individually, or as part of a team. Given this broad spectrum of software engineering experience, it can be challenging for data scientists... Read more

What Is the Difference Between Test Data and Live Data?

Guest contributor Modeling Live Data Test Dataposted by Shannon Flynn December 27, 2021

Data has become a hot topic of discussion, but many of these conversations oversimplify what it covers. Those outside of data science operations refer to data as a singular resource or group when there are actually many different forms of data that serve various purposes. One... Read more